JUpdated Job Description: Backend Python Developer
Job Title: Backend Python Developer
Location: Pune, Bengaluru (Hybrid), Noida
Experience: 8–10 years
Employment Type: Full-time
Role Overview
Weare looking for a Backend Python Developer to design, develop, and scale backend
systems that power our products and platforms. The role requires strong database
engineering expertise, particularly in Azure SQL, with a focus on query performance,
optimization, and database design.
You will work closely with product managers, frontend engineers, data scientists, and
DevOps teams to build reliable, secure, and high-performing APIs and services.
Key Responsibilities
Design, develop, and maintain backend services and APIs using Python
Build scalable, high-performance systems using frameworks such as Django, Flask, or
FastAPI
Develop and integrate RESTful APIs and asynchronous services where required
Design and optimize database structures in Azure SQL and other relational
databases
Create and manage Views, Indexes, and Stored Procedures for performance
optimization
Analyze query execution plans and optimize complex SQL queries for high
performance
Work with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)
Ensure code quality, performance, security, and scalability
Write clean, testable, and maintainable code with proper documentation
Collaborate with cross-functional teams to translate business requirements into
technical solutions
Debug, troubleshoot, and optimize both application and database performance
bottlenecks
Participate in code reviews and contribute to engineering best practices
Required Skills & Qualifications
Strong proficiency in Python
Experience with backend frameworks: Django / Flask / FastAPI
Solid understanding of REST APIs, HTTP protocols, and backend architecture
Core Database Expertise (Must-Have)
Hands-on experience with Azure SQL Database
Strong proficiency in SQL including:
o Views
o Indexes (clustered, non-clustered, performance tuning)
o Stored Procedures
Expertise in Query Optimization:
o Queryplanning and execution analysis
o Performance tuning using execution plans
o Identifying bottlenecks and optimizing large-scale queries
Strong experience in designing efficient and scalable database schemas
Familiarity with Git and version control workflows
Knowledge of object-oriented design, data structures, and algorithms
Understanding of authentication, authorization, and security best practices
Ability to work in an agile, fast-paced environment
Good to Have
Experience with AWS cloud platform
Exposure to Docker, containers, and CI/CD pipelines
Experience with async programming, message queues (Kafka, RabbitMQ), or
background workers (Celery)
Understanding of microservices architecture
Previous experience in data, AI, or analytics-driven platforms
Hiring Focus (Important Note)
Strong emphasis will be placed on database-related problem-solving during
interviews, including:
o SQLqueryoptimization scenarios
o Indexing strategies
o Execution plan analysis
o Real-world performance tuning use cases